此数据基于中国区域1km逐月平均温度数据集（1952-2019年）（https://www.ncdc.ac.cn/portal/metadata/f45a3dc7-25a8-4494-8195-dcaec5d76c92） 计算，先对东北地区进行裁剪，然后通过求平均的方式将逐月数据计算为年数据，并根据实地观测数据进行了质量控制和验证。", "ds_source": "
中国区域1km逐月平均温度数据集（1952-2019年）（https://www.ncdc.ac.cn/portal/metadata/f45a3dc7-25a8-4494-8195-dcaec5d76c92）", "ds_process_way": "
采用CAI方法生成1952—2019年中国气温表面（ChinaClim_time系列）数据，温度距平时间序列由气象站原始时间序列与30年正常值的比值和差值计算得出。结合每个气象站的经度、纬度、海拔、到最近海岸的距离、卫星驱动的距平（比率）、CRU距平（比率）和30年正常值，基于其地理坐标，应用TPS模型生成了1952.01-2019.12的温度距平面，其方法与ChinaClim_baseline类似。对于1952-2019年月距平/比值，采用不同的变量组合（经度、纬度、海拔、距最近海岸距离、CRU距平（比值）和30年正常值）构建了7个模型公式，并通过多年（1952-2019年）平均值的最小RMSE值来选择最优模型，以拟合11952-2000年温度距平面。ChinaClim_time序列是通过叠加（乘法）1952.01-2019.12的月度异常（比率）面和ChinaClim_baseline生成的。\n
然后对东北地区进行裁剪，通过求平均的方式将逐月数据计算为年数据，并根据实地观测数据进行了质量控制和验证。", "ds_quality": "
数据显著改善了降水估算精度，该数据集适用于气候变化时空格局及其生态环境响应的研究。", "ds_acq_start_time": "1952-01-01 00:00:00", "ds_acq_end_time": "2019-12-31 00:00:00", "ds_acq_place": "东北地区", "ds_acq_lon_east": 135.08861111111113, "ds_acq_lat_south": 40.0, "ds_acq_lon_west": 109.99694444444445, "ds_acq_lat_north": 53.55833333333333, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "open-access", "ds_total_size": 1333191136, "ds_files_count": 0, "ds_format": "*.tif", "ds_space_res": "1km", "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "a6cdfa28-5d09-4d03-be33-0596527e63ac.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "221ebf56-1b0b-4574-972b-1fb6d3cf1be7", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2026-04-07 14:56:18", "last_updated": "2026-04-07 14:56:18", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB7294.2026", "i18n": { "en": { "title_en": "1km average air temperature spatial distribution data of Northeast China (1952-2019)", "ds_format_en": "", "ds_source_en": "", "ds_quality_en": "", "ds_ref_way_en": "", "ds_abstract_en": "", "ds_time_res_en": "", "ds_acq_place_en": "", "ds_space_res_en": "", "ds_projection_en": "", "ds_process_way_en": "", "ds_ref_instruction_en": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "东北地区", "1km", "平均气温" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "东北地区" ], "ds_time_tags": [ 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960, 1961, 1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019 ], "ds_contributors": [ { "true_name": "李国玉", "email": "guoyuli@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "陈敦", "email": "chendun@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "陈敦", "email": "chendun@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "冻土" }